Nubank

Senior Software Engineer - Data Platform (m/w/d)

Berlin, Germany full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

About Nu
Nu serves more than 140 million customers, guided by a mission to fight complexity and empower people. The company has been leading an industry transformation through innovative products and human-centered services.
 
Proprietary technology and data at scale power Nu’s digital platform, built to promote financial access, advancement, and transparency. Its business model thrives on customer love and lower costs, feeding a flywheel of growth and profitability.

Visit our Institutional Page
You will join an engineering squad in our Berlin office working on distributed systems and platform infrastructure. Our products serve analytics engineers and business teams across the company, but this is primarily a systems engineering role (roughly 75% core software systems engineering, 25% data architecture). We value engineering depth: we build internal distributed solutions and understand the runtimes underneath, rather than only orchestrating managed tools.
As a Senior Software Engineer you will shape the architecture of our low-level infrastructure, orchestration frameworks and storage engines. You will lead technical design, resolve systemic bottlenecks in compute and streaming layers, and mentor engineers across squads, working with colleagues in Berlin, the US and Latin America.
What you will do
Design and build core low-level services and distributed runtimes for Nubank’s global data platform, with high fault tolerance, elastic scale and sub-second event availability.

Lead the design of compute orchestration frameworks on large Kubernetes clusters, improving scheduling throughput and resource utilization for complex data pipelines.

Design and optimize high-throughput streaming and storage architectures using Apache Kafka and distributed database internals for mission-critical financial workloads.

Find and remove performance, network and storage bottlenecks across the infrastructure stack to reduce latency.

Work with Analytics Engineering leads and platform users to define internal APIs, developer toolchains and data modeling practices that speed up developers company-wide.

Set standards for resilience testing, automated failover, observability and architectural documentation.

What you bring
Substantial experience designing, scaling and operating mission-critical distributed systems and backend architectures in high-throughput production environments.

Strong practical knowledge of container orchestration and systems management at scale, ideally Kubernetes internals and custom controllers or operators.

Advanced proficiency in a systems-oriented language such as Go, Java, Scala, Rust or C++.

Experience with database system architecture (storage engines, indexing, replication) and/or event-driven architectures using Apache Kafka.

A track record of technical leadership: writing design proposals, aligning teams on complex technical decisions, and mentoring engineers.

Nice to have
Experience building internal developer platforms, custom compute engines or low-level database products.

Experience with data platforms or compute runtimes that support production AI/ML training and inference.

Familiarity with multi-region AWS networking, security, IAM and compute.

Involvement in open-source distributed systems projects (e.g. Kubernetes, Kafka, data orchestration).

What we offer
We offer a competitive base salary in line with market rates, depending on experience and skills, along with:
Learning and wellness allowance

Vacations of 28 working days

Opportunity of earning equity at Nu

NuLanguage - Our language learning program

Nucleo - Our learning platform of courses

NuCare - Our mental health and wellness assistance program

Extended maternity and paternity leaves

Life Insurance and AD&D

Work-from-home Allowance

Relocation Assistance Package, if applicable

Work Model
Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/
Our working language is English.
Equal opportunity
We believe diversity makes our products and our teams better. We welcome applications from everyone, regardless of gender, ethnic origin, religion or belief, disability, age, or sexual identity. Severely disabled applicants with equivalent qualifications will be given preference.
Data protection
Your data is processed by Nubank in line with the GDPR. Details, including retention periods, are in our Candidate Privacy Notice on our careers page.
Our recruitment process may involve the use of artificial intelligence–enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.

To maintain a consistent and fair process for every candidate, Nu does not provide individualized technical feedback. See how our policy works here
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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Data Analysis Human Resources MySQL Writing Mid level full-time

Likely questions

  1. Tell us about work you have done that is close to the Senior Software Engineer - Data Platform (m/w/d) role.
  2. How would you approach your first 30 days at Nubank?
  3. Which of Data Analysis, Human Resources and MySQL have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Human Resources and MySQL.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Software Engineer - Data Platform (m/w/d) role because I can bring practical experience in Data Analysis, Human Resources and MySQL, learn the team quickly, and contribute to the outcomes Nubank needs from this hire.

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